M.SC. in Computer Engineering (Without Thesis)

CE 612 | Course Introduction and Application Information

Course Name

Software Evolution and Maintenance

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
CE 612	Fall/Spring	3	0	3	7.5

Prerequisites	None
Course Language	English
Course Type	Elective
Course Level	Third Cycle
Mode of Delivery	-
Teaching Methods and Techniques of the Course	-
National Occupation Classification	-
Course Coordinator	-
Course Lecturer(s)	Yrd. Doç. Dr. Kaan KURTEL
Assistant(s)	-

Course Objectives

This course provides doctoral students an in-depth knowledge of the various aspects of software evolution and maintenance. It covers the laws of software evolution and the means to control them, evolution and maintenance models, reengineering, refactoring and reuse techniques and processes for migration of legacy information systems.

Learning Outcomes

#	Content	PC Sub	* Contribution Level
#	Content	PC Sub	1	2	3	4	5
1	Define the nature of software evolution.
2	Identify the software evolution laws.
3	Attribute what is meant by legacy systems and why these systems are important.
4	Define the evolution and maintenance models.
5	Explain the concepts of software re-engineering.

Course Description

This course specifies definitions and concepts, software evolution and maintenance processes, reengineering, refactoring and reuse techniques in software engineering.

Course Category	Core Courses
	Major Area Courses
	Supportive Courses
	Media and Management Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Related Preparation	Learning Outcome
1	Introduction, IEEE Std 1219
2	The context of software evolution and maintenance	Grubb and Takang, ch.1; Tripathy and Naik ch. 1
3	The maintenance framework.	Grubb and Takang, ch.2; Tripathy and Naik ch. 2; Pressman, ch. 29
4	Software change	Grubb and Takang, ch.3
5	Limitations and economic implications to software change	Grubb and Takang, ch.4
6	Maintenance process	Grubb and Takang, ch.5; ISO/IEC 14764
7	Program understanding	Grubb and Takang, ch.6
8	Reverse engineering	Grubb and Takang, ch.7; Tripathy and Naik ch. 4
9	Midterm exam
10	Reuse and reusability	Grubb and Takang, ch.8
11	Management and organizational issues	Grubb and Takang, ch.10
12	Legacy Information Systems	Tripathy and Naik ch. 5
13	Software sustainability
14	Review
15	Review
16	Fınal

Course Notes/Textbooks

Suggested Readings/Materials

Grubb P. and Takang A.A., Software Maintenance Concepts and Practice, 2e, World Scientific, 2003. Sommerville I., Software Engineering, 10e, AddisonWesley, 2016. Pressman R.S., Software Engineering: A Practitioners Approach, 7e, McGrawHill, 2010. SWEBOK V3.0, Guide to the Software Engineering Body of Knowledge: 2014, Ed: Bourque P. and Fairley R.E., IEEE, 2014. April, Abran & Dumke, What do you need to know about Software Maintenance? Maintenance and assest management, 2005, vol. 20, no 2, pp. 32-37. Lanubile and Visaggio, Iterative Reengineering to compensate for QuickFix Maintenance, IEEE, 1995, International Conference on Software Maintenance, pp.140-146. Canfora and Cimitile, Software Maintenance, 2000, http://www.compaid.com/caiInternet/ezine/maintenancecanfora.pdf. Jones C., The Economics of Software Maintenance in the Twenty First Century, 2006. Tripathy P. and Naik K., Software evolution and maintenance: a practitioner’s approach, Wiley, 2015.

EVALUATION SYSTEM

Semester Activities	Number	Weighting	LO 1	LO 2	LO 3	LO 4	LO 5
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments	1	25
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm	1	25
Final Exam	1	50
Total

Weighting of Semester Activities on the Final Grade	2	60
Weighting of End-of-Semester Activities on the Final Grade	1	40
Total

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Theoretical Course Hours (Including exam week: 16 x total hours)	16	3	48
Laboratory / Application Hours (Including exam week: '.16.' x total hours)	16		0
Study Hours Out of Class	15	4	60
Field Work			0
Quizzes / Studio Critiques			0
Portfolio			0
Homework / Assignments	1	30	30
Presentation / Jury			0
Project			0
Seminar / Workshop			0
Oral Exam			0
Midterms	1	30	30
Final Exam	1	57	57
		Total	225

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	Accesses information in breadth and depth by conducting scientific research in Computer Engineering, evaluates, interprets and applies information.		-	-	-	-	-
2	Is well-informed about contemporary techniques and methods used in Computer Engineering and their limitations.		-	-	-	-	-
3	Uses scientific methods to complete and apply information from uncertain, limited or incomplete data, can combine and use information from different disciplines.		-	-	-	-	-
4	Is informed about new and upcoming applications in the field and learns them whenever necessary.		-	-	-	-	-
5	Defines and formulates problems related to Computer Engineering, develops methods to solve them and uses progressive methods in solutions.		-	-	-	-	-
6	Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs.		-	-	-	-	-
7	Designs and implements studies based on theory, experiments and modelling, analyses and resolves the complex problems that arise in this process.		-	-	-	-	-
8	Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations, can work independently and takes responsibility.		-	-	-	-	-
9	Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale.		-	-	-	-	-
10	Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.		-	-	-	-	-
11	Is knowledgeable about the social, environmental, health, security and law implications of Computer Engineering applications, knows their project management and business applications, and is aware of their limitations in Computer Engineering applications.		-	-	-	-	-
12	Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity.		-	-	-	-	-